Triple
T22247167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boroević |
E549874
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Boroevic |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Boroevic | Statement: [Boroević, hasVariantTransliteration, Boroevic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boroevic Context triple: [Boroević, hasVariantTransliteration, Boroevic]
-
A.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
-
B.
Boroević
chosen
Boroević is a South Slavic surname most notably associated with Austro-Hungarian field marshal Svetozar Boroević, a prominent military commander during World War I.
-
C.
Barysaw
Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
-
D.
Beselich
Beselich is a municipality in the Limburg-Weilburg district of Hesse, Germany, known for its rural character and proximity to the Lahn River region.
-
E.
Bosconia
Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13218d1f88190b64b7f301328fa98 |
completed | April 28, 2026, 10:18 p.m. |
Created at: April 16, 2026, 8:38 p.m.